Checkly

Checkly envisions a future where software reliability is seamlessly integrated into the development lifecycle, empowering engineers to foresee and resolve issues faster than ever before. Our mission is to redefine how monitoring is approached by embedding it directly into the code, making observability an intrinsic part of modern software development and delivery.

We harness the power of Monitoring as Code, synthetic monitoring, and AI-native workflows to create a platform that aligns perfectly with the fast-paced nature of cloud-native environments. By automating complex monitoring tasks and offering deep insights through programmability, Checkly is shaping a future where engineering teams spend less time firefighting and more time innovating.

Our commitment is to drive a culture of proactive reliability, blending cutting-edge technology with developer-centric design, thus transforming the way applications and APIs are observed, understood, and improved at scale worldwide.

We've been watching Checkly evolve in the monitoring space, and honestly, it's refreshing to see a company that actually gets how modern development teams work. While most monitoring tools feel like they were built in 2010 and then had dashboards slapped on top, Checkly was designed from the ground up for developers who live in code.

The core premise is simple but powerful: why should your monitoring be separate from your application code? Checkly's "Monitoring as Code" approach lets you define, version, and deploy your monitoring checks right alongside your actual application. It's the kind of obvious-in-hindsight idea that makes you wonder why everyone else hasn't figured it out yet.

What Made Us Take Notice

The Playwright integration caught our attention immediately. Instead of clunky, brittle browser automation tools, Checkly uses Microsoft's Playwright for end-to-end testing and synthetic monitoring. This means you get real browser interactions with video recordings and detailed traces when things go wrong. No more guessing what actually happened during a failed check.

We also love that they've thought beyond the typical "is my website up?" monitoring. Their 20+ global monitoring locations can test both public-facing apps and internal systems through their Checkly Agent. That's particularly clever for teams running microservices or complex internal tooling.

The AI Angle That Actually Works

Here's where Checkly surprised us: their AI integration isn't just marketing fluff. You can literally describe what you want to monitor in plain English, and the platform generates the actual monitoring code. We tested this with "check if users can complete the checkout flow on mobile" and got back a working Playwright script in seconds.

It's the kind of AI application that saves real time without feeling gimmicky. Plus, since everything ends up as actual code, you can review, modify, and version control it like any other part of your application.

Who This Really Clicks For

Checkly shines brightest with teams that have already embraced infrastructure as code and GitOps workflows. If you're already managing your deployments through CI/CD pipelines and treating infrastructure like software, adding monitoring to that same process feels natural.

We'd especially recommend it for SRE teams and platform engineers who need to scale monitoring across multiple applications and environments. The ability to template and programmatically generate checks means you're not manually clicking through UIs to set up monitoring for every new service.

That said, teams still working primarily through manual processes might find the code-first approach more complex than they need. Traditional monitoring tools with point-and-click interfaces could be a better starting point for those organizations.